Montenegro vs Sierra Leone: Maize (corn) — Gross per capita Production Index Number
Montenegro
118.13
in 2024
Sierra Leone
119.34
in 2024
Montenegro rank
39th
Sierra Leone rank
37th
Maize (corn) — Gross per capita Production Index Number over time
- Montenegro
- Sierra Leone
How they compare
Sierra Leone currently reports 119.34 against 118.13 in Montenegro, a difference of 1.21.
The two have swapped places 4 times across 19 shared years of data; in 2006 it was Sierra Leone ahead.
Montenegro ranks 39th and Sierra Leone ranks 37th of 147 countries.
Sierra Leone has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Montenegro | Sierra Leone | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 115.15 | 202.37 | 87.22 | Sierra Leone |
| 2010s | 90.27 | 178.43 | 88.16 | Sierra Leone |
| 2020s | 102.54 | 114.28 | 11.74 | Sierra Leone |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher maize (corn) — gross per capita production index number, Montenegro or Sierra Leone?
- Sierra Leone, at 119.34 against 118.13 in Montenegro as of 2024.
- What is the difference in maize (corn) — gross per capita production index number between Montenegro and Sierra Leone?
- 1.21, with Sierra Leone ahead.
- How many years of comparable data are there for Montenegro and Sierra Leone?
- 19 years are reported by both, from 2006 to 2024.
- How do Montenegro and Sierra Leone rank globally for maize (corn) — gross per capita production index number?
- Montenegro ranks 39th and Sierra Leone ranks 37th of 147 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Maize (corn) — Gross per capita Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.